Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Michelucci, Umberto"'
Image similarity metrics play an important role in computer vision applications, as they are used in image processing, computer vision and machine learning. Furthermore, those metrics enable tasks such as image retrieval, object recognition and quali
Externí odkaz:
http://arxiv.org/abs/2410.01411
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, widely used for applications such as environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learnin
Externí odkaz:
http://arxiv.org/abs/2406.10031
Self-rewarding have emerged recently as a powerful tool in the field of Natural Language Processing (NLP), allowing language models to generate high-quality relevant responses by providing their own rewards during training. This innovative technique
Externí odkaz:
http://arxiv.org/abs/2405.13473
Autor:
Ghazouali, Safouane El, Gucciardi, Arnaud, Venturini, Francesca, Venturi, Nicola, Rueegsegger, Michael, Michelucci, Umberto
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have been mostly implemented and tested on popular gr
Externí odkaz:
http://arxiv.org/abs/2404.02877
Autor:
Halasz, Geza, Sperti, Michela, Villani, Matteo, Michelucci, Umberto, Agostoni, Piergiuseppe, Biagi, Andrea, Rossi, Luca, Botti, Andrea, Mari, Chiara, Maccarini, Marco, Pura, Filippo, Roveda, Loris, Nardecchia, Alessia, Mottola, Emanuele, Nolli, Massimo, Salvioni, Elisabetta, Mapelli, Massimo, Deriu, Marco Agostino, Piga, Dario, Piepoli, Massimo
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e29058 (2021)
BackgroundSeveral models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity. Machine learning algorithms represent a novel approach for the data-driven predict
Externí odkaz:
https://doaj.org/article/15384bcbc10749c1b803b5243ebac485
Publikováno v:
Sensors 2024
In the realm of computer vision, the integration of advanced techniques into the processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object appeara
Externí odkaz:
http://arxiv.org/abs/2403.00175
Autor:
Gucciardi, Arnaud, Ghazouali, Safouane El, Venturini, Francesca, Groznik, Vida, Michelucci, Umberto
This paper presents an annotated dataset of brain MRI images designed to advance the field of brain symmetry study. Magnetic resonance imaging (MRI) has gained interest in analyzing brain symmetry in neonatal infants, and challenges remain due to the
Externí odkaz:
http://arxiv.org/abs/2401.11814
Autor:
Venturini, Francesca, Fluri, Silvan, Mejari, Manas, Baumgartner, Michael, Piga, Dario, Michelucci, Umberto
This work systematically investigates the oxidation of extra virgin olive oil (EVOO) under accelerated storage conditions with UV absorption and total fluorescence spectroscopy. With the large amount of data collected, it proposes a method to monitor
Externí odkaz:
http://arxiv.org/abs/2309.12377